Data Engineer Senior

WERNER MAASS

Senior Data Engineer

603-***-**** https://www.linkedin.com/in/wernerkmaass *******@**.***.*** Portsmouth, NH

A seasoned Data Executive who expertly leverages delivering transformative solutions that delight the clients across diverse industries. Deep understanding of financial reporting, budgeting, forecasting, and compliance. This ensures accurate financial statements, sound strategies, and overall financial health management. Continual focus on accurate forecasting assessing project feasibility and risk identification through scenario planning and sensitivity analysis. Proficient in implementing robust data governance frameworks, ensuring consistent and ethical data management across all use-cases. Expertise in guiding clients toward solid Generative AI practices providing measurable results and KPIs. Intense focus, as the appointed supervisor and overseer of all data-related activities in the enterprise, on continuously reassessing intricate code and structures for errors and gaps. Known for thriving in dynamic settings while ensuring client satisfaction and surpassing organizational objectives. Innate ability to address risks and highlight rewards, especially during stressful times. Reinforcing what the team has discussed with the other parties at a higher level. A talent to know when to concede and when to stand firm on project and strategy.

CORE COMPETENCIES

Data Governance Data Virtualization Data Pipelines Master Data Management Metadata Management

AWS Cloud Services GCP Cloud Service IBM Cloud Services SAP SuccessFactors

AWS Redshift, Glue, Postgres GCP BigQuery,,DataPrep Dataflow Snowflake Kubernetes with Helm IBM Hyperledger Fabric

Apache Spark Kafka Avro Atlas Informatica Splunk Python Perl

Karate Framework Safe Framework Github Cucumber Gherkin

PROFESSIONAL EXPERIENCE

IBM Certified Consultant International Business Machines Armonk, NY 08/2010- Present

Change agent for the National Quality Assurance practice, providing expert consulting services for Digital Transformations and Modernization projects. Leading the development and implementation of strategic data initiatives that align with the company's business goals. This includes identifying opportunities for leveraging big data to drive business growth and innovation. Utilizing big data analytics to identify and mitigate potential risks, ensuring data security and compliance with regulatory requirements. This involves developing robust data governance frameworks and monitoring data usage

KEY PROJECTS

SAP Employee Central Payroll Consultant IBM Internal Raliegh, NC

Analyze business needs and test and debug the configuration, business rules and ensuring the benefits is integrated with payroll; Developed data quality procedures and routines to ensure transformations converted the data into the required EC formats.

Collaborate with program executives, and project sponsors and other business analysts to assist in determining project scope including configuration and business rule designs resulting in the reduction of over 795 defects and 15 Change requests resulting in Workday to Successfactors migration success.

Work as a liaison and subject matter expert between technical teams and business owners for EC components and Benefits components for each work stream: Payroll, EC Benefits and Compensation.

Design and Architect master data requirements and strategies to support the transition of HR data from Workday to SF.

As Data Engineer identified and evaluated processes for continuous improvement opportunities, make recommendations for options/possible solutions and implement plan to achieve improvements which in turn ensure the data quality and the transformation rules applied were streamlined and satisfied the requirements, providing a timely Cutover date and eliminating 20% of the anticipated testing costs.

Data Architect Consultant Thomson Reuters Toronto, CA

Analyze business needs and lead cross-functional teams in the development, and documentation of Master Data Strategy driving the attainment of modernization business goals. Developed data visualization platform with existing Data lakes, Enterprise data warehouse, salesforce APIs and instances.

Lead to Cash Analysis, including Salesforce and CPQ data lineage analysis developing data insight on Products and Pricing of top 100 products within TR improving the onboarding process and environmental setups reducing operating costs by 250K quarter to quarter.

Designed Data GenAI Solution to leverage RAG to ground LLM’s with trusted data to improve output quality and utilize LLM caching to improve efficiency by reducing number of model invocations

Managed Orchestration component/service of the GenAI Application Layer responsible for managing the interaction between different agents, models, and services. Specifically, with Informatica Ingestion providing a unified interface for accessing various AI services, allowing agents to communicate with each other and with external systems.

Collaborated with stakeholders to understand their data requirements and developed customized data solutions to Data Profile and create Data Lineage Models for S4 Hana: leading to a 30% increase in data accuracy and a 20% improvement in data accessibility.

Managed data assets across the organization, providing a single source of truth for data lineage and metadata with Informatica Data Catalog and Atlan which offers automation capabilities for metadata enrichment and data governance, which can be leveraged through Informatica's integration and provide members have access to consistent and up-to-date metadata lowering technical debt inherent within operating expenses.

Demonstrated expertise in snowflake scaling examining query complexity, resource usage, and concurrency, to determine scaling actions, assessed automatic clustering and materialized view resulting in removing long running python routines during peak processing hours reducing runtimes by 60%.

Data Engineering Manager MUFG New Jersey

Develop and execute superior data analysis to create an enterprise data platform, resulting in over 250 data sources and streaming data and business processes, improved customer satisfaction, and increased revenue streams. Coordinate comprehensive release management for the delivery of financial metrics to Compliance, Consumer Credit, Wholesale Credit risk stripes. Managed Production Support team providing Incident, Change, and Problem Management.

Initiated and established Enterprise Data Platform production support team

Managed and provided level one and two support for Enterprise Data Platform Big Data: AWS EC2, Lambda, Redshift, Glue and Glacier and achieved a steady state with 100 % compliance to SLAs, resulting in lower operating costs and increased agility.

Managed metadata management to support Basel Committee on banking supervision’s the Regulatory and Non-Regulatory reports for the Federal Reserve; providing quality of risk management, aggregate level and direction of associated risks and any violations of laws and regulations or deficient practices

Leveraged Data Structure, Merkle Tree, Hash Tables and Linked Lists to ensure data integrity, data retrieval times and data consistency and data analytics in order to analyze transaction behaviors, leveraging IBM Hyperledger decreased latency and increased throughput.

Data Engineering Manager T-Mobile, Chicago Ill

Responsible for establishing governance structure and NorthStar vision for Sales and Distribution Development. Coordinating all aspects of Delivery for 4 Product Lines, Supply Chain Execution, Logistics, Device life Cycle Maintenance and SAP FICA.

Designed and architected Service Virtualization architecture for Disco Quality organization accelerating CI/CD processes and reducing required resources by 20%.

Designed Kafka Source and Sink in Flink using Karate Framework and Gherkin scripts creating Behavior driven development, supporting parallel execution testing, and integration into CI/CD pipelines.

Data Engineer Ahold Scarborough, ME

Project managed all aspects of the Hannaford Online program integrating Oracle EBS with Google analytics, and ansible automation for the Delhaize CI/CD.

Increased Revenue by 15% instantiating BOPIS (buy online pick in store) features

Reduced Integration complexity and cost with SOA architecture replacing complex point-to-point integrations with single service virtualization connections

Directed and Staffed quality assurance and business analyst team on a Success factors integration program with Workday for union and non-union based compensation

Data Engineer Brighthouse Financial Charlotte, NC

Developed and managed Data Engineering Office including staffing, processes and procedures and reporting providing services for the MetLife to Brighthouse migration. Collaborated with various SI vendors and the Information security organization to create policies, strategies and schemes for their test and data governance organization and developed the test and data stewards within their lines of business. Architected services virtualization across business units as within the SAP Hana architecture.

Harmonized SAP master data and building data models (in HANA or other relational databases) leveraging SAP Data replication and MDG tools (Master Data Domains, and Information Steward), accelerating data preparation for S4 Hana master data with Successfactors Employee Central.

Developed and sourced for SAP HANA modelling [Extraction, Transformation and Load (ETL) jobs in BODS for transferring data from SAP and non-SAP systems; Efficient processes lead to cost savings of over 1.5 million cost avoidance and 30% savings of the overall 5 million dollars engagement

Program Manager Express Scripts Minneapolis, MN

Collaborated with 3 vendor teams on the overall MEDCO migration; overseeing the P&L as well as design technical solutions, and implement custom software applications, resulting in streamlined processes and improved efficiencies. Managed the Release Cycle and Claims Services Capabilities. Led Enterprise Release team and managed the monthly cycle for ESI successfully completing the Express Script Medco merger.

Program managed overall budget and P&L of Claims Services Organization of 125 consultants

Managed and Staffed 60 Express scripts and Vendor QA Project and Program Leads

Optimize costs and improve ROI by 35% leading the Eligibility Capability and Claims Transaction Processor capability with 30 projects per month and the delivery of the release to express scripts. On average over 2 million is cost avoidance and GP of 32%.

EDUCATION & CERTIFICATIONS

Certified Professional IBM Consultant

AWS Cloud Practitioner

Certified IBM Cloud Architect

Gen AI Practitioner

Masters, Computer Information Systems Marist College

B.A. Mathematics & English State University of New York College at Potsdam

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